Table of Contents:

  1. Feature creation and data quality check

  2. Data exploration
  3. Statistical tests

1. Feature creation and data quality check

2. Data exploration

2.1. KPI visualization

2.1.1. Overall

2.1.1. # of overspend campaign

2.1.3. Overspend ratio

2.1.4. Campaign budget

2.2. Explanatory modeling

2.2.1. Train model to predict overspend campaings by company size and budget

2.2.2. Train model to predict product type by budget

3. Statistical tests

3.1. T-test to validate the statistical significance

All companies

Large companies

Medium companies

Small companies

3.2. Bayesien statistics

All companies

Large companies

Medium companies

Small companies